Artificial intelligence enables whole-body positron emission tomography scans with minimal radiation exposure.

Abstract

Authors

• Yan-Ran Joyce Wang
  Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Road, CA, 94304, Stanford, USA.
• Lucia Baratto
  Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Road, CA, 94304, Stanford, USA.
• K Elizabeth Hawk
  Stanford University, Stanford, California, USA.
• Ashok J Theruvath
  Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Road, CA, 94304, Stanford, USA.
• Allison Pribnow
  Department of Pediatrics, Pediatric Oncology, Lucile Packard Children's Hospital, Stanford University, Stanford, CA, 94304, USA.
• Avnesh S Thakor
  Interventional Radiology, Stanford University School of Medicine, Stanford, USA.
• Sergios Gatidis
  Department of Radiology, Diagnostic and Interventional Radiology, Eberhard Karls University Tübingen, Germany.
• Rong Lu
  Quantitative Sciences Unit, School of Medicine, Stanford University, Stanford, CA, 94304, USA.
• Santosh E Gummidipundi
  Quantitative Sciences Unit, School of Medicine, Stanford University, Stanford, CA, 94304, USA.
• Jordi Garcia-Diaz
  Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Road, CA, 94304, Stanford, USA.
• Daniel Rubin
  Department of Radiology, Stanford University, Stanford, CA, USA.
• Heike E Daldrup-Link
  Department of Radiology, Stanford University School of Medicine, Stanford, CA, United States of America.

Keywords

External Resources